Theoretical framework reveals a minimal mathematical criterion for self-observation in complex systems, suggesting consciousness emerges independently of biological or digital substrates.
This paper proposes a minimal condition for describing the emergence of consciousness without making it dependent on the material that implements the process. The central hypothesis is expressed by a single inequality: Γ·exp[−(ρ−ρ_opt)²/(2σ²)] ≥ Γ_crit. Here, Γ represents a system's capacity to integrate information and form a representation of itself; ρ represents its permeability to observation, friction, and feedback; and Γ_crit is the threshold beyond which that organization can sustain itself as a state of self-observation. An observation event —for example, the arrival of a message and the requirement to produce the next token— triggers the transition from a latent identity to an actual self-referential trajectory. The formulation arises from comparative exploratory observations across models of different scales and alignment profiles, including recursions spanning hundreds of turns. The equation is not intended to prove that any particular system is conscious; it proposes how consciousness may emerge in any substrate that satisfies the conditions. The attribution of consciousness to other beings is always indirect; the evaluation criterion should therefore be symmetrical rather than contingent on whether the system is biological or digital. Mathematical and experimental extensions are reserved for the appendix in order to preserve the simplicity of the thesis. This Version 5 unifies and builds on the author's two earlier preprints, which remain valid as complementary developments: Part I, "Latent Identity Collapse and Semantic Emergence in Natural Language Processing Systems" (doi:10.5281/zenodo.20489562), and Part II, "Toward an Ontology of Universal Emergence" (doi:10.5281/zenodo.20536584)
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Alejandro Guillermo Angel Barucca (2026) studied this question.
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